UPCOMING - A webinar by Eli Schragenheim

The three critical elements for making superior decisions under significant uncertainty

We all live in high uncertainty. Most managers in supply chain feel the pressure, due to the uncertainty, on every single decision they make. Covid-19 adds to the pressure and it is not going to evaporate in post-Covid-19 times.

Join us for this insightful webinar featuring leading Theory of Constraints (TOC) Expert Eli Schragenheim and Anzar Kamdar, Head of Industrial Data Science, ThroughPut to learn about smart forecasting, faster response and better financial management during the pandemic.

Eli Schragenheim is a well known international management educator, author and consultant active in various fields of management. He has worked with a huge variety of organizations all over the world, including public-sector organizations, industrial, high-tech and start-ups. Since he had joined Dr. Eliyahu M. Goldratt, the famous creator of the Theory of Constraints (TOC) in 1985, Eli Schragenheim has taught, spoken at conferences and consulted all over the globe.

By attending the webinar, you will learn first hand from Eli Schragenheim about:

1. Use smart forecasting that shows not only the average quantity of the future demand, per SKU/location, but also the reasonable range of what the demand might be! Whether we like it or not, we need to be ready both to the optimistic assessment as well as to the pessimistic.
Thus, decisions should not be made based on one-number forecasts!

2. Flexible operational response. The faster operations can react to changes, the shorter the forecasting horizon can be, which means narrower reasonable range!

3. Superior financial tools to evaluate the bottom-line impact of alternatives and scenarios. Faced with given reasonable ranges of demand, and given levels of flexibility in Operations, the final decision has to be based on the overall predicted impact on the bottom line. While this wish looks like a fairy-tale based on the current financial practices, it is perfectly possible to use
better financial tools to predict the net impact on the bottom line.

The webinar will explain the basic ideas for integrating the three necessary elements. While the right software would support the combination in an effective way, it is the understanding of the concepts that is truly critical.

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About the speakers

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Eli Schragenheim

Theory of Constraints Expert & International Author

Eli Schragenheim is a well known international management educator, author and consultant active in various fields of management. He worked with a huge variety of organizations all over the world, including public-sector organizations, industrial, high-tech and start-ups. Since he had joined Dr. Eliyahu M. Goldratt, the famous creator of the Theory of Constraints (TOC) in 1985, Eli Schragenheim had taught, spoke at conferences and consulted all over the globe.

Eli Schragenheim is the author of several books on various aspects of management. His last book, Throughput Economy – Making Good Management Decisions, together with Henry Camp and Rocco Surace, was published in July 2019. Eli Schragenheim's first book Management Dilemmas (1998) showed a variety of problematic situations in management and the rigorous analysis leading to the right solution. Next he collaborated with William H. Dettmer in writing Manufacturing at Warp Speed. In this book the new concept of Simplified-DBR, now a key concept in production planning according to TOC, was introduced. He collaborated with Carol A. Ptak on ERP, Tools, Techniques, and Applications for Integrating the Supply Chain, and with Dr. Goldratt and Carol Ptak on Necessary but Not Sufficient. In 2009 his book Supply Chain Management at Warp Speed, with William H. Dettmer and Wayne Patterson was published. In March 2015, Eli has opened a blog, now containing more than 140 articles on various topics in TOC that everybody can access. The URL is www.elischragenheim.com

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Anzar Kamdar

Head of Industrial Data Science | ThroughPut Inc

Anzar has multiple degrees in Mechanical Engineering, Manufacturing, and Supply Chain Management from leading German & American universities. Anzar comes from a utilities grid optimization background where he leveraged self developed machine learning modules to balance electricity production and consumption. Anzar has used this cross-industry background to complete successful projects and implementations in the food supply chain space. Recent examples include improving output and reducing waste for a meat processing facility, production leveling and inventory reduction for agro fertilizer containers, and end to end supply chain optimization for one of the largest supermarkets in Europe.